Selecting-Matching Optimization Technology of Fan Rotor Blades of Aircraft Engine

Aiming at the problem of low resource utilization of rotor blades in the selection process of aero-engine fan rotor blades, the first-order bending frequency dispersion, first-order torque frequency dispersion, and gravitational moment difference of rotor blades are regarded as the selection criteria, and the minimum number of not selected blades as the optimization goal, an intelligent selection algorithm of the blades is proposed to achieve the goal of efficient selection and full utilization of the rotor blades before assembly. In view of the problems of multiple installations and multiple adjustments as well as low assembly success rate in the assembly of fan rotor blades, the gravitational moment difference between the two blades at a diagonal position of 180 degrees is taken as the constraint condition, and the minimized residual imbalance as the optimization objective, and the improved simulated annealing algorithm is used to optimize the assembly sequence of the rotor blades, which greatly reduces the residual imbalance of the rotor blades as well as the times of rotor assembly and adjustment. Example verifies that the proposed optimization algorithm for selecting blades greatly improves the utilization of blade resources and the selection efficiency: the blade resource utilization rate is increased from 65%-74% currently achieved in enterprise to 83%-93%, and when running the algorithm for 20 times, the minimum single running period is 7.7 seconds and the maximum is 28.7 seconds, indicating the solution efficiency is very high. The optimization algorithm for the assembly sequence planning of the rotor blades provides an optimized assembly sequence for actual assembly of the rotor blades, and the methods for optimal selection and matching of the rotor blades can realize full utilization of blade resource, and facilitate efficient assembly. © 2021, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.